Profile

I am a professional teacher with a passion for blending traditional teaching methods with innovative approaches, especially in the context of technology-enhanced learning. My academic journey has taken me from studying theoretical and computational physics at HKUST to pursuing an Ed.D. at the University of Bristol, where I specialised in flipped classroom models. Since 2022, I have been teaching at The Education University of Hong Kong (EdUHK), focusing on AI and general education.

Before joining EdUHK, I had the privilege of teaching in higher education since 2004, covering areas such as physical science, information technology, statistics, and research methods. Throughout my career, I have always believed that effective learning comes from a thoughtful balance between structured lectures and active, student-centred activities—especially when supported by technology. I try to bring this philosophy into every class I teach, whether it is about AI, coding, or general education.

I also enjoy engaging in educational research, particularly in areas like flipped learning, blended learning, coding education, and STEM education. I find it rewarding to explore how technology can be used to support learning and to think about the best ways to design and implement educational strategies that are both effective and inclusive.

In my teaching, I aim to be approachable, supportive, and encouraging. I believe that teachers should not only impart knowledge but also inspire curiosity and help students develop critical thinking and problem-solving skills. My Recommended AI Tools for Teaching, Learning & Research provides a curated collection of resources designed to support teaching, learning, and research, with a particular focus on generative AI applications in educational contexts—including tools for content creation, assessment, feedback, and collaboration, along with guidance on pedagogical uses and ethical implementation.